What if every patient could get an expert second opinion?

A senior community oncologist recently said something that stuck with us:

"You don't have to go to an academic center to get good care. Access to Open Medicine would also reassure the public that they're getting good care."

That last point may be more important than it sounds. For many patients with cancer, there's an uncomfortable question sitting behind every treatment decision: How do I know I'm getting the best care?

Would they recommend something different at MD Anderson? Should I go to MSKCC? Should I get another opinion? Would an oncologist who treats only my type of cancer make the same decision?

These are reasonable questions. Oncology is increasingly complicated, and patients have little ability to judge whether the treatment they're receiving reflects the latest evidence and expert thinking.

Excellent care doesn't happen only at academic centers

Community oncologists deliver sophisticated cancer care every day. They also have an advantage that's easy to overlook: they know their patients.

They know the toxicities that don't quite make it into the chart. They know the family. They know whether the patient can realistically travel three hours for treatment. They may have cared for that patient for years, but their job is extraordinarily broad.

An academic oncologist may spend most of her career thinking about one disease. A community oncologist might treat breast cancer, lung cancer, prostate cancer, lymphoma and myeloma all in the same day.

No individual physician can accumulate subspecialist-level experience across all of modern oncology. But what if they didn't have to? What if the second opinion was built into the first?

Today, access to subspecialty expertise is largely geographic. If a patient wants to know how a leading myeloma specialist would approach their case, we usually send the patient to the myeloma specialist.

That means another appointment. Another medical record transfer. Another drive or flight. Another day away from work. And millions of patients don't live anywhere near a major cancer center.

But there's another possibility: instead of asking the patient to travel to the specialist, bring the specialist's thinking to the community.

A Living Algorithm can show how an experienced disease specialist approaches the same decision: what factors matter, which treatments they favor, where the evidence is strong, where it is uncertain, and what would cause them to choose differently.

Now imagine the community oncologist recommends the same approach.

That is more than decision support. It is expert validation at the point of care.

The patient can see that the treatment being recommended in a community clinic is also the approach a leading specialist would consider.

And if the approaches don't align, that is useful too. Perhaps there is a clinical trial to consider. A new therapy the patient may be eligible for. Or a decision complicated enough to warrant referral.

In either case, expert input becomes part of routine care rather than something reserved for patients who can reach a major academic center.

The goal isn't to replace second opinions

Some patients should absolutely travel to specialized centers. Certain treatments like TIL require specialized infrastructure. Rare cancers may require expertise concentrated in only a handful of institutions. Difficult cases benefit enormously from multidisciplinary evaluation.

The goal isn't to eliminate those referrals, it's to make them more meaningful.

Instead of sending patients to academic centers because we're uncertain about their local care, we can identify the cases where specialized care actually changes the decision. For everyone else, expert reasoning can travel even when the patient doesn't.

Geography shouldn't determine access to expertise

For decades, one of the implicit advantages of living near a major academic medical center has been access to specialists who have treated hundreds or thousands of patients with a particular disease.

The internet made medical information available everywhere. Today, AI is making that information searchable everywhere. The next step is making clinical expertise available everywhere.

A paper can tell you what happened in a trial. A guideline can tell you which treatments are recommended, and AI can retrieve both instantly.

But an experienced oncologist can tell you how they actually apply that evidence to patients.

Historically, that layer of medicine has been difficult to distribute.

But it doesn't have to that way.

Expertise can travel farther than patients

A patient shouldn't have to wonder whether living three hours from a major cancer center means receiving a different level of care.

And a community oncologist shouldn't have to practice every oncology subspecialty alone.

Open Medicine's goal is to make the reasoning of experienced physicians available wherever care is delivered across the globe. Sometimes that reasoning will reassure the oncologist and patient that they're already on the right path. Sometimes it will suggest another option.

And sometimes it will say: this is the patient who should go to the academic center.

Because the future of community oncology shouldn't require moving every patient closer to expertise. It should move expertise closer to the patient.